168 engineering-computation-"https:"-"https:"-"https:"-"Dublin-City-University" Postdoctoral positions in Denmark
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Job Description The Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU) invites three excellent candidates to join our team for three full-time Postdoc
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modules that enable engineered T cells to detect intracellular cancer antigens, expanding CAR-T and similar technologies beyond surface targets. You will help develop new and optimise existing computational
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Technical Sciences refers to the Ministerial Order on the Appointment of Academic Staff at Danish Universities under the Danish Ministry of Science, Technology and Innovation . The application must be in
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approaches are transforming how next-generation biologics are discovered and engineered. We are launching an ambitious research program centered on AI-driven generative protein design to develop GPCR-targeting
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The Department of Business Development and Technology at Aarhus University invites applications for an 18‑month postdoctoral position in AI Ethics for the Public Sector, starting 1 September 2026
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by the Danish EUDP project “RePower-HPC.” Future AI and high-performance computing (HPC) systems demand unprecedented power levels driven by massive data processing. A key challenge is enabling
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. We expect applicants to hold a PhD in a relevant field such as techno-anthropology, science and technology studies, human-computer interaction, human-robot interaction, digital health, anthropology
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energy system. Qualified applicants must have: PhD degree in physics, astronomy, engineering, computer science or similar. Experience with finite element modeling, ideally Comsol Multiphysics. Experience
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validation in rodent migraine models Close collaboration with computational protein engineers and clinical researchers Data analysis, manuscript preparation, and supervision of students where relevant
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, electrical engineering, etc. Prior experience in (1) image processing, particularly for radiographic and computed tomographic data as well as mesh-type data, and (2) machine learning, particularly deep